Data Mining
Data Mining:
A process of analysing business data (often stored in a data warehouse) to uncover hidden trends and patterns and establish relationships. Data mining is normally performed by expert analysts who use specialist software tools.
From: www.oranz.co.uk/glossary_text.htm
The process of using statistical techniques to discover subtle relationships between data items, and the construction of predictive models based on them. The process is not the same as just using an OLAP tool to find exceptional items. Generally, data mining is a very different and more specialist application than OLAP, and uses different tools from different vendors. Normally the users are different, too. OLAP vendors have had little success with their data mining efforts.
From : www.olapreport.com/glossary.htm
MiningMart
The basic idea is to store best practice cases of preprocessing chains that where developed by experienced users. The data is described on the meta level and is presented in application terms. MiningMart users choose a case and apply the corresponding transformation and learning chain to their application.
The project has developed new techniques that support user-guided representation adjustment as well as techniques that automatically select or change representations:
MiningMart has developed an operational meta-language for describing data and operators
MiningMart has prepared the first cases of KDD
MiningMart presents the case-base in the WWW
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MiningMart
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